Optimization using Machine learning/AI

Ditutup Disiarkan 3 bulan lepas Dibayar semasa penghantaran
Ditutup Dibayar semasa penghantaran

Using ML to predict energy generation of renewables, and energy consumption in an area and then to optimize and schedule (also with AI/ML) the working hours of water pumps in the area and finally schedule that it could independently work without the need to borrow power from the grid.

Along with an accurate working code (with an explanation of the code in comments) of the project, a detailed report of the project along with literature review .The report should be in the journal format without plagiarism and without AI-generated content.

Penyelidikan Penulisan Akademik Machine Learning (ML) Penulisan Teknikal

ID Projek: #37469414

Tentang projek

5 cadangan Projek jarak jauh Aktif 2 bulan lepas

5 pekerja bebas membida secara purata ₹1930 untuk pekerjaan ini

Bhartifreelancer

Dear Client, Greetings!!!!!!! I have gone through your initial project information of Optimization using Machine learning/AI. I am glad to mention that I have extensive experience in various subjects in academic writ Lagi

₹1500 INR dalam sehari
(124 Ulasan)
5.7
vaibhav4507

I can rewrite your project. Can you me your assistant because am looking for a client like you. When your is done then you pay me.

₹1050 INR dalam 7 hari
(0 Ulasan)
0.0
sajmimuhammed

As a data science intern,currently working with huge datasets to enhance my skills and find interesting to predict some insights .It will be a great opportunity as a fresher to kick start my career.

₹1050 INR dalam 7 hari
(0 Ulasan)
0.0
ChiamakaCC

Hello! I am a creative content writer with over 5 years experience in Digital Marketing. My exceptional SEO content strategy is all you need to skyrocket your brand’s visibility. I have been writing high-quality, eng Lagi

₹1050 INR dalam 7 hari
(0 Ulasan)
0.0
anushka03367

Hello I can do this. Please share the details of the task so that I can check and confirm accordingly.

₹5000 INR dalam 7 hari
(1 Ulasan)
0.0